title: Probing vasoocclusion phenomena in sickle cell anemia via mesoscopic simulations.
abstract: Vasoocclusion crisis is a key hallmark of sickle cell anemia. Although early studies suggest that this crisis is caused by blockage of a single elongated cell, recent experiments have revealed that vasoocclusion is a complex process triggered by adhesive interactions among different cell groups in multiple stages. However, the quantification of the biophysical characteristics of sickle cell anemia remains an open issue. Based on dissipative particle dynamics, we develop a multiscale model for the sickle red blood cells (SS-RBCs), accounting for diversity in both shapes and cell rigidities, to investigate the precise mechanism of vasoocclusion. First, we investigate the adhesive dynamics of a single SS-RBC in shear flow and static conditions, and find that the different cell groups (SS2: young-deformable SS-RBCs, ISCs: rigid-irreversible SS-RBCs) exhibit heterogeneous adhesive behavior due to the diverse cell morphologies and membrane rigidities. We quantify the observed adhesion behavior (in static conditions) in terms of a balance of free energies due to cell adhesion and deformation, and propose a power law that relates the free-energy increase as a function of the contact area. We further simulate postcapillary flow of SS-RBC suspensions with different cell fractions. The more adhesive SS2 cells interact with the vascular endothelium and trap ISC cells, resulting in vasoocclusion in vessels less than 12-14 μm depending on the hematocrit. Under inflammation, adherent leukocytes may also trap ISC cells, resulting in vasoocclusion in even larger vessels.
authors.affiliation: Division of Applied Mathematics, Brown University, Providence, RI 02912, USA.
authors.forename: Huan
authors.initials: H
authors.lastname: Lei
authors.forename: George E
authors.initials: GE
authors.lastname: Karniadakis
mesh_terms: D000755:Anemia, Sickle Cell / Q000473:pathology*; D001157:Arterial Occlusive Diseases / Q000473:pathology*; D006801:Humans
keywords: adhesion dynamics; blood flow; disease cell; free energy analysis